Hidden Markov Model
HMM is an instance of the state space model in which the latent variable are discrete.What's this state space model? State-space models are models that use state variables to describe a system by a set of first-order difference equations.This is similar to the principles of Markov chains however in this case the latent states are assumed to be the dictator of the observed values.
Monte Carlo Simulation and Stock Prices Forecasting
Monte Carlo Simulation is a mathematical technique used in modeling the probability of different outcomes especially where there is uncertainty or randomness of variables. Monte Carlo simulation helps in providing an understanding of the impact of risk and uncertainty in prediction and forecasting models.
AI Advances and ChatGPT in the Software Development World
The software development world has witnessed a significant transformation with the advent of Artificial Intelligence (AI) and its applications. One of the most notable AI tools that has gained popularity in recent times is ChatGPT. In this article, we will explore the AI advances and the role of ChatGPT in the software development world.
UI vs UX Understanding the difference
In today’s digital world, creating a successful product isn’t just about how it works but also how it feels and looks.When developing a successful product, two crucial elements come into play: User Experience (UX)- Relates to how the user feels when interacting with a product or service User Interface (UI)- This one relates to the overall look and feel of a product from a user's perspective
Building Resilient Software Systems
In today’s world, every organization must strive to build software systems that are resilient in the face of unexpected occurrences to achieve uninterrupted operations and safeguard their data. Software systems are prone to failure and error, which have adverse effects such as downtime, loss of data, and compromise of security.
Prompt Engineering - Understanding the Basics
Ever feel like you're struggling with ChatGPT to get some information, but your friend just types in a question and BAM! Perfect answer? It’s all about knowing how to ask the right questions — that’s the magic of Prompt engineering. Let’s uncover the magic behind crafting effective prompts for seamless interactions with LLMs.
Currying and Partial Application
The mathematical definition of a function can be denoted as a relationship between a set of inputs (the domain) and a single output (the co-domain). When a mathematical function is said to have only one parameter, it typically means that it takes a single value as input. However, in functional programming we build functions that theoretically 'defy' this concept by taking in multiple input parameters.
Portfolio Optimization
Portfolio optimization is the method of selecting the best portfolio, which gives back the most profitable rate of return for each unit of risk taken by the investors. A portfolio is defined as the pool of investment options of an investor. The best portfolio for an investor depends upon various options like risk appetite, expected rate of return, other cost minimization. An ideal portfolio would be the one that has the highest Sharpe ratio.